Correlation Between Alger Health and Transamerica Large
Can any of the company-specific risk be diversified away by investing in both Alger Health and Transamerica Large at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Alger Health and Transamerica Large into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Alger Health Sciences and Transamerica Large Cap, you can compare the effects of market volatilities on Alger Health and Transamerica Large and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Alger Health with a short position of Transamerica Large. Check out your portfolio center. Please also check ongoing floating volatility patterns of Alger Health and Transamerica Large.
Diversification Opportunities for Alger Health and Transamerica Large
0.81 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Alger and Transamerica is 0.81. Overlapping area represents the amount of risk that can be diversified away by holding Alger Health Sciences and Transamerica Large Cap in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Transamerica Large Cap and Alger Health is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Alger Health Sciences are associated (or correlated) with Transamerica Large. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Transamerica Large Cap has no effect on the direction of Alger Health i.e., Alger Health and Transamerica Large go up and down completely randomly.
Pair Corralation between Alger Health and Transamerica Large
Assuming the 90 days horizon Alger Health is expected to generate 3.91 times less return on investment than Transamerica Large. In addition to that, Alger Health is 1.3 times more volatile than Transamerica Large Cap. It trades about 0.08 of its total potential returns per unit of risk. Transamerica Large Cap is currently generating about 0.4 per unit of volatility. If you would invest 1,459 in Transamerica Large Cap on November 6, 2024 and sell it today you would earn a total of 75.00 from holding Transamerica Large Cap or generate 5.14% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Alger Health Sciences vs. Transamerica Large Cap
Performance |
Timeline |
Alger Health Sciences |
Transamerica Large Cap |
Alger Health and Transamerica Large Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Alger Health and Transamerica Large
The main advantage of trading using opposite Alger Health and Transamerica Large positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Alger Health position performs unexpectedly, Transamerica Large can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Transamerica Large will offset losses from the drop in Transamerica Large's long position.Alger Health vs. California Municipal Portfolio | Alger Health vs. Bbh Intermediate Municipal | Alger Health vs. Ab Bond Inflation | Alger Health vs. Mirova Global Green |
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Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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